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Optimize AI skill activation v1.0.0

Use this resource to improve an AI skill that is not applied or that regresses

New

  • 415 downloads
  • 130 likes
  • 144 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-skill-activation-optimizer

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent measures the skill with and without it, finds universal, model-specific or regression failures, then reworks the instructions to make them stand out and reduce context cost. You get a revised skill and release criteria.

Mostly picked by

Updated November 2, 2026

Card for the “Optimize AI skill activation” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: optimization loop and practical heuristics
  • rules/: activation design, benchmark loop, context budget, regression triage and release gates

Good fit for

  • A skill is ignored by some models
  • You want to check that a new version does not make outputs worse

Not for

    Tags

    • skills
    • agents
    • benchmark
    • prompt
    • regression

    About

    You say

    “Measure my code-review skill with and without it, and tell me where it fails.”

    Card for the “Optimize AI skill activation” skill

    Skill published by mcollina under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to improve an AI skill that is not applied or that regresses
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • rules/activation-design.md1.3 KB
    • rules/benchmark-loop.md1.2 KB
    • rules/context-budget.md1.1 KB
    • rules/regression-triage.md1.1 KB
    • rules/release-gates.md1 KB
    • SKILL.md2.3 KB
    • tile.json0.6 KB

    Origin and licence

    Listed unmodified

    Author
    mcollina
    Source
    github.com/mcollina/skills/tree/c75d70dbfbe991d8cec42aeda0b64ff14fbb9ac7/skills/skill-optimizer
    Licence
    MIT

    Notice

    « skill-optimizer » (mcollina, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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